Tag Archives

Reproduced left to right from [8,10,1]
Within a 5 day span in October, 4 papers came out that take a significantly different approach to AI hierarchical networks. They are all inspired by biological principles to varying degrees. It’s exciting to see different ways of thinking. Particularly ...

Our brain is a source of great inspiration for the development of Artificial General Intelligence. In fact, one of the common views is that any effort in developing human-level AI is almost destined to fail without an intimate understanding of how the brain works. However, we do not understand our b ...

Today's post tries to fit the theoretical concept of Predictive Coding with the unusual structure and connectivity of Pyramidal cells in the Neocortex.
Pyramidal neurons
Pyramidal neurons are interesting because they are one of the most common neuron types in the computational layers of the ne ...

Typical results from our experiments: Some active cells in layer 3 of a 3 layer network, transformed back into the input pixels they represent. The red pixels are positive weights and the blue pixels are negative weights; absence of colour indicates neutral weighting (ambiguity). The w ...

Digit classification error over time in our experiments. The image isn't very helpful but it's a hint as to why we're excited :)
Project AGI
A few weeks ago we paused the "How to build a General Intelligence" series (part 1, part 2, part 3, part 4). We paused it because the nex ...

A Minecraft API is now available to train your AGIsOur NewsWe are working hard on experiments, and software to run experiments. So this week there is no normal blog post. Instead, here’s an eclectic mix of links we’ve noticed recently. First, AlphaGo continues to make headlines. Of interest to P ...